Machine Learning Engineer + Data Scientist + Software Engineer Interview Questions
Practice the exact questions companies are asking right now.

"I got asked a hardcore MCM DP question and I saw it on PracHub as well. Solved that question in 5 minutes. Without PracHub I doubt I could solve it in 5 hours. Though somehow didn't get hired, perhaps I guess I solved it too fast? /s"

"Believe me i'm a student here jn US. Recently interviewed for MSFT. They asked me exact question from PracHub. I saw it the night before and ignored it cause why waste time on random sites. I legit wanna go back and redo this whole thing if I had chance. Not saying will work for everyone but there is certainly some merit to that website. And i'm gonna use it in future prep from now on like lc tagged"

"10 years of experience but never worked at a top company. PracHub's senior-level questions helped me break into FAANG at 35. Age is just a number."

"I was skeptical about the 'real questions' claim, so I put it to the test. I searched for the exact question I got grilled on at my last Meta onsite... and it was right there. Word for word."

"Got a Google recruiter call on Monday, interview on Friday. Crammed PracHub for 4 days. Passed every round. This platform is a miracle worker."

"I've used LC, Glassdoor, and random Discords. Nothing comes close to the accuracy here. The questions are actually current — that's what got me. Felt like I had a cheat sheet during the interview."

"The solution quality is insane. It covers approach, edge cases, time complexity, follow-ups. Nothing else comes close."

"Legit the only resource you need. TC went from 180k -> 350k. Just memorize the top 50 for your target company and you're golden."

"PracHub Premium for one month cost me the price of two coffees a week. It landed me a $280K+ starting offer."

"Literally just signed a $600k offer. I only had 2 weeks to prep, so I focused entirely on the company-tagged lists here. If you're targeting L5+, don't overthink it."

"Coaches and bootcamp prep courses cost around $200-300 but PracHub Premium is actually less than a Netflix subscription. And it landed me a $178K offer."

"I honestly don't know how you guys gather so many real interview questions. It's almost scary. I walked into my Amazon loop and recognized 3 out of 4 problems from your database."

"Discovered PracHub 10 days before my interview. By day 5, I stopped being nervous. By interview day, I was actually excited to show what I knew."

"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."
"The search is what sold me. I typed in a really niche DP problem I got asked last year and it actually came up, full breakdown and everything. These guys are clearly updating it constantly."
Write SQL and Pandas for Uber Trips
Assume 'today' = 2025-09-01. You are given the following schema and small ASCII samples. Tables - riders(rider_id, name, signup_date) - drivers(driver...
Query seven-day conversion with windows and dedupe
Assume all timestamps are UTC. Treat "today" as 2025-09-01. Define "last 7 days" as the inclusive window [2025-08-26 00:00:00, 2025-09-01 23:59:59]. S...
Implement DFS with cycle detection and topo order
Implement DFS (recursive and iterative) with topo sort, cycle detection, and timestamps You are given a directed graph G with N nodes labeled 1..N and...
Write monthly touches and last-touch SQL
You have two tables tracking marketing touches and downstream conversions. Write SQL to answer the three prompts below. Assume a warehouse like Postgr...
Write SQL and Python for transaction analytics
You are given user and transaction data. Part A (SQL): Use a join and window functions to answer the prompts below using the following schema and samp...
Define and analyze new-vs-existing activity
Ambiguous product question: Are existing users more active than new users over the last 28 days (ending today = 2025-09-01)? 1) Propose two reasonable...
Compute per-player daily cumulative games with windows
Write a SQL query to output, for each player_id and each calendar date present in the data, the cumulative number of games played up to and including ...
Design metrics and write SQL for a case
Case: Measure the impact of outreach on subsequent purchases and diagnose anomalies. Define your primary metric and write SQL. Schema and tiny samples...
Manipulate data in R with dplyr joins and windows
Using R and dplyr, answer the following using these small tables (dates are ISO strings): transactions(user_id, order_id, order_date, channel, amount)...
Solve two-pointer, sliding-window, and string tasks
Solve the following three coding tasks: 1) Two-pointer in-place de-duplication: Given a non-decreasing integer array nums and an integer k >= 1, modif...
Write SQL to quantify outage revenue loss
A database outage blocked premium membership registrations from 2025-01-01 to 2025-03-31 (inclusive). Members intend to start on intended_start_date, ...
Compute profit and break-even for memberships
This question evaluates a candidate's competency in unit economics, algebraic modeling, and sensitivity analysis for loyalty‑program pricing and profi...
Design a reproducible data pipeline for modeling
You receive raw clickstream events and a user table. Build a reproducible daily pipeline that outputs user-day features for modeling. It must be idemp...
Design an idempotent churn ETL pipeline
You must build a daily pipeline that produces month-end churn metrics (logo churn, gross revenue churn, net revenue retention) from streaming subscrip...
Compute churn and revenue churn in SQL
You receive monthly end-of-month subscription snapshots and must compute August-2025 churn metrics. Schema and sample data: Table: subscription_monthl...
Compute ETA shift and conversion uplift
Use PostgreSQL (SQL) and brief Python pseudocode. Assume 'today' is 2025-09-01. Schema: - trips(trip_id BIGINT, request_ts TIMESTAMP, city_id INT, rid...
Build a Bayes classifier for reviewer types
This question evaluates Bayesian inference skills, including posterior updating under conditional independence, likelihood modeling for categorical ob...
Impute, join, and upsert using SQL and Python
Write both SQL and Python (pandas) to complete the following data-manipulation tasks. Assume today is 2025-09-01 for any time filters. Schema: custome...
Find premium share for break-even
This question evaluates a candidate's ability to construct and manipulate a linear financial model and perform break-even analysis using algebra, basi...
Design profitability growth plan
This question evaluates a data scientist's skills in business analytics, experimentation design, and strategic framework development for profitability...